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Five Key Benefits of Artificial Intelligence (AI) in Nutrition Research

Five Key Benefits of Artificial Intelligence (AI) in Nutrition Research

Artificial Intelligence in nutrition research has the potential to improve our understanding of the complex interactions between diet and health. By providing insights into how...

Daniel Voigt Godoy on Deep Learning and Starting PyTorch

Daniel Voigt Godoy on Deep Learning and Starting PyTorch

PyTorch has quickly been gaining steam as a leading deep learning framework, with many practitioners choosing it over TensorFlow as their... PyTorchhas quickly been gaining...

Machine Learning vs Data Science: Key Differences

Machine Learning vs Data Science: Key Differences

Machine learning (ML) and data science are two separate concepts that are related to the field of artificial intelligence (AI). Both concepts rely on data to improve products,...

Welcome to the Age of the Engineer-Data Scientist | Transforming Data with Intelligence

Welcome to the Age of the Engineer-Data Scientist | Transforming Data with Intelligence

The growing enthusiasm for a new hybrid role raises significant questions. We answer them here. The typical product development/simulation engineering team now enjoys access to...

Better Machine Learning Demands Better Data Labeling: Key Takeaways

Better Machine Learning Demands Better Data Labeling: Key Takeaways

Machine learning (ML) techniques have had a huge societal impact in many cases and applications such as speech processing, natural language comprehension, neurosciences, health,...

The convergence of deep neural networks and immunotherapy – TechCrunch

The convergence of deep neural networks and immunotherapy – TechCrunch

What do deep neural networks and cancer immunotherapy have in common? While both are among the most transformational areas of modern science, 30 years ago, these fields were...

Predicting the past with Ithaca

Predicting the past with Ithaca

Predicting the past with Ithaca Predicting the past with Ithaca Authors * External authors Restoring, placing, and dating ancient texts through collaboration between AI and...

Apple Researchers Introduce 'NEO' to Generalize Confusion Matrix Visualization and Enable Machine Learning Practitioners to Find Hidden Confusions

Apple Researchers Introduce 'NEO' to Generalize Confusion Matrix Visualization and Enable Machine Learning Practitioners to Find Hidden Confusions

Machine learning is a complex, iterative design and development process aimed at creating a learned model that generalizes to new data inputs. Model assessment, which involves...

Restoring and attributing ancient texts using deep neural networks - Nature

Restoring and attributing ancient texts using deep neural networks - Nature

Restoring and attributing ancient texts using deep neural networks History Abstract Ancient history relies on disciplines such as epigraphy—the study of inscribed texts known as...

Vectors are over, hashes are the future of AI

Vectors are over, hashes are the future of AI

Artificial intelligence has been built on the back of vector arithmetic. Recent advances show for certain AI applications this can actually be drastically outperformed (memory,...

Multimodal Bottleneck Transformer (MBT): A New Model for Modality Fusion

Multimodal Bottleneck Transformer (MBT): A New Model for Modality Fusion

People interact with the world through multiple sensory streams (e.g., we see objects, hear sounds, read words, feel textures and taste flavors), combining information and...

Difference Between Algorithm and Model in Machine Learning

Difference Between Algorithm and Model in Machine Learning

Machine learning involves the use of machine learning algorithms and models. For beginners, this is very confusing as often “machine learning algorithm” is used interchangeably...